RT Journal Article
JF IEEE Transactions on Visualization & Computer Graphics
YR 2009
VO 16
SP 439
TI Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines
A1 Jean-Daniel Fekete,
A1 Niklas Elmqvist,
K1 Aggregation
K1 clustering
K1 clutter reduction
K1 massive data sets
K1 visual exploration
K1 visual analytics.
AB We present a model for building, visualizing, and interacting with multiscale representations of information visualization techniques using hierarchical aggregation. The motivation for this work is to make visual representations more visually scalable and less cluttered. The model allows for augmenting existing techniques with multiscale functionality, as well as for designing new visualization and interaction techniques that conform to this new class of visual representations. We give some examples of how to use the model for standard information visualization techniques such as scatterplots, parallel coordinates, and node-link diagrams, and discuss existing techniques that are based on hierarchical aggregation. This yields a set of design guidelines for aggregated visualizations. We also present a basic vocabulary of interaction techniques suitable for navigating these multiscale visualizations.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 1077-2626
LA English
DO 10.1109/TVCG.2009.84
LK http://doi.ieeecomputersociety.org/10.1109/TVCG.2009.84